Hajjaj Charaf, Bouaichi Abdellatif, A. M. Ahmed, Benhmida Mohammadi, Bennouna Amin, G. Abdellatif, Zitouni Houssain, I. Badr
{"title":"半干旱气候条件下光伏发电非线性经验模型的实验验证。以摩洛哥贝宁里尔为例","authors":"Hajjaj Charaf, Bouaichi Abdellatif, A. M. Ahmed, Benhmida Mohammadi, Bennouna Amin, G. Abdellatif, Zitouni Houssain, I. Badr","doi":"10.1109/PVCON.2018.8523882","DOIUrl":null,"url":null,"abstract":"Nowadays, the investments in large-scale photovoltaic power projects is increasing around the world and more especially in the MENA region. To encourage investors to install more PV capacities, it's important to provide guaranties on the benefits in term of production especially in harsh and semi-arid climates. For this reason, modeling of photovoltaic performance in such conditions is required to predict accurately the plants energy yield. The aim of this study is to adapt a non-linear empirical model to simulate the photovoltaic production under semi-arid climate. The new developed model represents the output power of the PV module as a function of in-plane irradiance and ambient temperature, and a number of semi-empirical coefficients determined by fitting the outdoor measured data. The model has been validated using one year of high accurate measured data at ground level of a polycrystalline module at Green Energy Park research facility. Results of this study show that the proposed model is a good approach to predict the output photovoltaic power under semi-arid climate with an hourly nRMSE of 3.1% in comparison to ground measurements.","PeriodicalId":380858,"journal":{"name":"2018 International Conference on Photovoltaic Science and Technologies (PVCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Experimental Validation of Non-Linear Empirical Model to Simulate the Photovoltaic Production Under Semi-Arid Climate. Case Study of Benguerir, Morocco\",\"authors\":\"Hajjaj Charaf, Bouaichi Abdellatif, A. M. Ahmed, Benhmida Mohammadi, Bennouna Amin, G. Abdellatif, Zitouni Houssain, I. Badr\",\"doi\":\"10.1109/PVCON.2018.8523882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, the investments in large-scale photovoltaic power projects is increasing around the world and more especially in the MENA region. To encourage investors to install more PV capacities, it's important to provide guaranties on the benefits in term of production especially in harsh and semi-arid climates. For this reason, modeling of photovoltaic performance in such conditions is required to predict accurately the plants energy yield. The aim of this study is to adapt a non-linear empirical model to simulate the photovoltaic production under semi-arid climate. The new developed model represents the output power of the PV module as a function of in-plane irradiance and ambient temperature, and a number of semi-empirical coefficients determined by fitting the outdoor measured data. The model has been validated using one year of high accurate measured data at ground level of a polycrystalline module at Green Energy Park research facility. Results of this study show that the proposed model is a good approach to predict the output photovoltaic power under semi-arid climate with an hourly nRMSE of 3.1% in comparison to ground measurements.\",\"PeriodicalId\":380858,\"journal\":{\"name\":\"2018 International Conference on Photovoltaic Science and Technologies (PVCon)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Photovoltaic Science and Technologies (PVCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PVCON.2018.8523882\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Photovoltaic Science and Technologies (PVCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PVCON.2018.8523882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experimental Validation of Non-Linear Empirical Model to Simulate the Photovoltaic Production Under Semi-Arid Climate. Case Study of Benguerir, Morocco
Nowadays, the investments in large-scale photovoltaic power projects is increasing around the world and more especially in the MENA region. To encourage investors to install more PV capacities, it's important to provide guaranties on the benefits in term of production especially in harsh and semi-arid climates. For this reason, modeling of photovoltaic performance in such conditions is required to predict accurately the plants energy yield. The aim of this study is to adapt a non-linear empirical model to simulate the photovoltaic production under semi-arid climate. The new developed model represents the output power of the PV module as a function of in-plane irradiance and ambient temperature, and a number of semi-empirical coefficients determined by fitting the outdoor measured data. The model has been validated using one year of high accurate measured data at ground level of a polycrystalline module at Green Energy Park research facility. Results of this study show that the proposed model is a good approach to predict the output photovoltaic power under semi-arid climate with an hourly nRMSE of 3.1% in comparison to ground measurements.